Triple
T6316837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiwaji University |
E141636
|
entity |
| Predicate | chancellorRoleHeldBy |
P325
|
FINISHED |
| Object | Governor of Madhya Pradesh |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Governor of Madhya Pradesh | Statement: [Jiwaji University, chancellorRoleHeldBy, Governor of Madhya Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chancellorRoleHeldBy Context triple: [Jiwaji University, chancellorRoleHeldBy, Governor of Madhya Pradesh]
-
A.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
B.
precededInOfficeAsChancellorBy
Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
-
C.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
-
D.
hasChancellor
chosen
Indicates that an entity holds the position or role of chancellor for another entity.
-
E.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.